Data Science Manager

What it's all about -

The Data Science Manager is a member of CEE Data Solutions team based in Warsaw. As a Data Science Manager, you will be accountable for leading the design, implementation and development of analytics tools and reports used for Visa's external clients. In this role, you will collaborate with Global Analytics, Business, and Technology teams across the organization to implement best-in-class services to drive business performance with a clear commercial ‘value’ and measurable ‘return’.

Principal Responsibilities

• Designing, developing and implementing analytical solutions for external partners
• Regular and bespoke data analysis to provide insights on the performance and highlighting opportunities for growth
• Create and deliver powerful business-centric insights from data through better visualization and storyboarding
• Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
• Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
• Providing subject matter expertise and quality assurance of complex data driven analytic projects
• Defining detailed analytic scope and methodology, and creating analytic plan

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications

• 5+ years of relevant work experience and a Bachelors degree, OR 8+ years of relevant work experience

Preferred Qualifications

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD

Technical Expertise
•Fluency in Python (for Data Science) and SQL is mandatory
•Good understanding of Big Data tools (Hadoop, Spark, Hive)
•Experience in building statistical models and doing statistical analysis
•Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
•Ability to solve business problems through data driven quantitative methodologies
•Define and design analytic approaches to business problems
•Fluency in English

Business Experience
•Results oriented with strong analytical, consultative and problem solving skills, with demonstrated intellectual and analytical rigor
•Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
•Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
•Excellent interpersonal skills to work collaboratively across functions and geographies in a matrix environment
•Proven skills in translating analytics output to actionable recommendations, and delivery
•Experience in presenting ideas and analysis to stakeholders
•Exhibit intellectual curiosity and strive to continually learn

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.